Zobrazeno 1 - 10
of 90
pro vyhledávání: '"LeBlanc, David J."'
Real-time safety metrics are important for the automated driving system (ADS) to assess the risk of driving situations and to assist the decision-making. Although a number of real-time safety metrics have been proposed in the literature, systematic p
Externí odkaz:
http://arxiv.org/abs/2401.01501
We examine the problem of estimating footprint uncertainty of objects imaged using the infrastructure based camera sensing. A closed form relationship is established between the ground coordinates and the sources of the camera errors. Using the error
Externí odkaz:
http://arxiv.org/abs/2308.12846
Traffic simulation is an efficient and cost-effective way to test Autonomous Vehicles (AVs) in a complex and dynamic environment. Numerous studies have been conducted for AV evaluation using traffic simulation over the past decades. However, the curr
Externí odkaz:
http://arxiv.org/abs/2110.07111
Autor:
Kusari, Arpan, Li, Pei, Yang, Hanzhi, Punshi, Nikhil, Rasulis, Mich, Bogard, Scott, LeBlanc, David J.
Current autonomous vehicle (AV) simulators are built to provide large-scale testing required to prove capabilities under varied conditions in controlled, repeatable fashion. However, they have certain failings including the need for user expertise an
Externí odkaz:
http://arxiv.org/abs/2109.11620
We present Vehicle Energy Dataset (VED), a novel large-scale dataset of fuel and energy data collected from 383 personal cars in Ann Arbor, Michigan, USA. This open dataset captures GPS trajectories of vehicles along with their time-series data of fu
Externí odkaz:
http://arxiv.org/abs/1905.02081
Autor:
Nobukawa, Kazutoshi, Bao, Shan, LeBlanc, David J., Zhao, Ding, Peng, Huei, Pan, Christopher S.
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems ( Volume: 17, Issue: 3, March 2016 )
This paper presents an analysis of rearward gap acceptance characteristics of drivers of large trucks in highway lane change scenarios. The range between the vehicles was inferred from camera images using the estimated lane width obtained from the la
Externí odkaz:
http://arxiv.org/abs/1707.09415
The behaviors of heavy vehicles drivers in mandatory and discretionary lane changes are analyzed in this paper. 640 mandatory and 2,035 discretionary lane change events were extracted from a naturalistic driving database. Variations in gap acceptance
Externí odkaz:
http://arxiv.org/abs/1707.09411
Personalized driver models play a key role in the development of advanced driver assistance systems and automated driving systems. Traditionally, physical-based driver models with fixed structures usually lack the flexibility to describe the uncertai
Externí odkaz:
http://arxiv.org/abs/1703.03534
Evaluating the effectiveness and benefits of driver assistance systems is essential for improving the system performance. In this paper, we propose an efficient evaluation method for a semi-autonomous lane departure correction system. To achieve this
Externí odkaz:
http://arxiv.org/abs/1702.06557
Analyzing and reconstructing driving scenarios is crucial for testing and evaluating automated vehicles. This research analyzed left turn / straight-driving conflicts at unprotected intersections by extracting actual vehicle motion data from a natura
Externí odkaz:
http://arxiv.org/abs/1702.00135